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Using Wiktionary for computing semantic relatedness
Abstract We introduce Wiktionary as an emerging lexWe introduce Wiktionary as an emerging lexical semantic resource that can be used as a substitute for expert-made resources in {AI} applications. We evaluate Wiktionary on the pervasive task of computing semantic relatedness for English and German by means of correlation with human rankings and solving word choice problems. For the first time, we apply a concept vector based measure to a set of different concept representations like Wiktionary pseudo glosses, the first paragraph of Wikipedia articles, English {WordNet} glosses, and {GermaNet} pseudo glosses. We show that: (i) Wiktionary is the best lexical semantic resource in the ranking task and performs comparably to other resources in the word choice task, and (ii) the concept vector based approach yields the best results on all datasets in both evaluations.sults on all datasets in both evaluations.
Added by wikilit team Added on initial load  +
Collected data time dimension Cross-sectional  +
Comments "We show that: (i) Wiktionary is the best "We show that: (i) Wiktionary is the best lexical semantic resource in the ranking task and performs comparably to other resources in the word choice task, and (ii) the concept vector based approach yields the best results on all datasets in both evaluations" p. 861n all datasets in both evaluations" p. 861
Conclusion We show that: (i) Wiktionary is the best lWe show that: (i) Wiktionary is the best lexical semantic resource in the ranking task and performs comparably to other resources in the word choice task, and (ii) the concept vector based approach yields the best results on all datasets in both evaluationsesults on all datasets in both evaluations
Data source Experiment responses  + , Direct observation  +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22Using%2BWiktionary%2Bfor%2Bcomputing%2Bsemantic%2Brelatedness%22  +
Has author Torsten Zesch + , Christof Müller + , Iryna Gurevych +
Has domain Computer science +
Has topic Semantic relatedness +
Pages 861-866  +
Peer reviewed Yes  +
Publication type Conference paper  +
Published in AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2 +
Research design Experiment  +
Research questions We introduce Wiktionary as an emerging lexWe introduce Wiktionary as an emerging lexical semantic resource that can be used as a substitute for expert-made resources in AI applications. We evaluate Wiktionary on the pervasive task of computing semantic relatedness for English and German by means of correlation with human rankings and solving word choice problems.rankings and solving word choice problems.
Revid 11,022  +
Theories Undetermined
Theory type Design and action  +
Title Using Wiktionary for computing semantic relatedness
Unit of analysis Article  +
Url http://en.scientificcommons.org/45658519  +
Wikipedia coverage Sample data  +
Wikipedia data extraction Dump  +
Wikipedia language English  + , German  +
Wikipedia page type Article  +
Year 2008  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:32:30  +
Categories Semantic relatedness  + , Computer science  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:32:11  +
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